Match

Zenit 2 vs Dynamo: result 1-1 and analysis

First LeagueRegular Season - 5Kick-off on July 31, 2016 at 11:00 AM (UTC)Malaya Sportivnaya Arena, St. Petersburg

Zenit 2
1-1
Dynamo

Full time

What was the result of Zenit 2 vs Dynamo?

Zenit 2 and Dynamo drew 1-1 on July 31, 2016.

Goalscorers

  • 19′F. BećirajDynamo
  • 41′Aleksey GasilinZenit 2

Official lineup for Zenit 2 vs Dynamo

The starting elevens fielded at kick-off.

Zenit 2

  1. 34M. Pronichev
  2. 48Aleksey Gasilin
  1. 18K. Zyryanov
  2. 32David Mildzikhov
  3. 40Y. Bavin
  4. 50M. Karpov
  5. 97I. Kamyshev
  6. 45K. Kostin
  1. 23E. Chernov
  2. 58I. Zuev
  1. 71E. Baburin

Dynamo

  1. 8K. Panchenko
  2. 21F. Bećiraj
  1. 10A. Zotov
  2. 11I. Temnikov
  3. 41Aleksandr Sapeta
  4. 88Aleksandr Tashaev
  1. 2G. Morozov
  2. 3S. Holmén
  3. 12Dmitri Belorukov
  4. 13S. Terekhov
  1. 1A. Shunin
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What is the recent form of both teams?

Over their last 4 matches in all competitions, Zenit 2 have 3 wins, 1 draw and 0 defeats; Dynamo have 11, 3 and 1.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Zenit 2
DateOpponentScoreCompetition
Jul 27, 2016Enisey(away)3-0First League
Jul 23, 2016Tyumen(home)1-0First League
Jul 16, 2016Shinnik Yaroslavl(away)2-1First League
Jul 11, 2016FK Sokol Saratov(home)1-1First League
Dynamo
DateOpponentScoreCompetition
Jul 27, 2016Baltika(home)2-1First League
Jul 23, 2016FK Neftekhimik(home)3-1First League
Jul 16, 2016Enisey(away)0-0First League
Jul 11, 2016Tyumen(home)3-0First League
Mar 19, 2015Napoli(home)0-0UEFA Europa League

How many goals should we expect?

Zenit 2 score 1.8 and concede 0.5 goals per match over their last 4; Dynamo score 1.5 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Zenit 21.80.522/42/4
Dynamo1.50.778/159/15

Over the last 4 matches in all competitions.

A question about Zenit 2 vs Dynamo?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

How does Footlab AI compute this prediction?

The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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